the evolution of trading and military strategies: an agent-based simulation 1 august 2003
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This file contains the simulation figures from Rousseau and Cantor (2003). The remaining figures appear in the text of the paper. The Evolution of Trading and Military Strategies: An Agent-Based Simulation 1 August 2003 David L. Rousseau Assistant Professor Department of Political Science - PowerPoint PPT PresentationTRANSCRIPT
The Evolution of Trading and Military Strategies:An Agent-Based Simulation
1 August 2003
David L. Rousseau Assistant Professor
Department of Political Science235 Stiteler Hall
University of PennsylvaniaPhiladelphia, PA 19104
E-mail: [email protected]: (215) 898-6187
Fax: (215) 573-2073and
Max CantorDepartment of Political Science
and the School of Engineering and Applied ScienceUniversity of Pennsylvania
Philadelphia, PA 19104E-mail: [email protected]
Paper prepared for the annual meeting of the American Political Science Association, August 28-31, 2003, Philadelphia, PA. Please send comments to the first author.
This file contains the simulation figures from Rousseau and Cantor (2003). The remaining figures appear in the text of the paper.
Figure 8: Output From The Baseline Model
A) Distribution of traits in the landscape at iteration 1000 (Attribute=1 shown in black).
B) Distribution of War shown by black lines connecting nodes.
C) Distribution of Trade shown by green lines connecting nodes.
F) Change in the Percentage of States Having Traits 1, 2, 12, &13 Across Time.
G) Average Number of Wars, Trade, and Gini Coefficient Across Time
D) Spatial Distribution of Wealth (Blue above 1000 and Red Below 1000 Power Unites)
Figure 10: H1: Increasing the Gains From Trade
A) Distribution of traits in the landscape at iteration 1000 (Attribute=1 shown in black).
B) Distribution of War shown by black lines connecting nodes.
C) Distribution of Trade shown by green lines connecting nodes.
F) Change in the Percentage of States Having a Traits 1, 2, 12, &13 Across Time.
G) Average Number of Wars, Trade, and Gini Coefficient Across Time
D) Spatial Distribution of Wealth (Blue above 1000 and Red Below 1000 Power Unites)
Figure 11: H2: Offense Dominance
A) Distribution of traits in the landscape at iteration 1000 (Attribute=1 shown in black).
B) Distribution of War shown by black lines connecting nodes.
C) Distribution of Trade shown by green lines connecting nodes.
G) Average Number of Wars, Trade, and Gini Coefficient Across Time
D) Spatial Distribution of Wealth (Blue above 1000 and Red Below 1000 Power Unites)
F) Change in the Percentage of States Having a Traits 1, 2, 12, &13 Across Time.
Figure 12: H3: Permitting Trade with Non-Neighbors
A) Distribution of traits in the landscape at iteration 1000 (Attribute=1 shown in black).
B) Distribution of War shown by black lines connecting nodes.
C) Distribution of Trade shown by green lines connecting nodes.
G) Average Number of Wars, Trade, and Gini Coefficient Across Time
D) Spatial Distribution of Wealth (Blue above 1000 and Red Below 1000 Power Unites)
F) Change in the Percentage of States Having a Traits 1, 2, 12, &13 Across Time.
Figure 13: H5: Altering the Exit Payoffs
Baseline Model0.10 Exit Payoffs 0.90 Exit Payoffs
War
s: L
ine
Con
nect
ions
Trad
es: L
ine
Con
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ions
Gen
e Pr
eval
ence
Ove
r Tim
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wer
Lev
elR
elat
ive
to S
tart
Trad
e, W
ar a
ndIn
equa
lity
Acr
oss
Tim
e
Figure 14: Absolute versus Relative Payoffs in the Trade Game
Absolute Payoffs Relative PayoffsW
ars:
Lin
e C
onne
ctio
nsTr
ades
: Lin
e C
onne
ctio
nsG
ene
Prev
alen
ceO
ver T
ime
Pow
er L
evel
Rel
ativ
e to
Sta
rtTr
ade,
War
and
Ineq
ualit
y A
cros
s Ti
me
Figure 15: Rapid Learning Representative Runs
A) Distribution of traits in the landscape at iteration 1000 (Attribute=1 shown in black).
B) Distribution of War shown by black lines connecting nodes.
C) Distribution of Trade shown by green lines connecting nodes.
G) Average Number of Wars, Trade, and Gini Coefficient Across Time
D) Spatial Distribution of Wealth (Blue above 1000 and Red Below 1000 Power Unites)
F) Change in the Percentage of States Having a Traits 1, 2, 12, &13 Across Time.
Figure 16: Simultaneously Raise Trade Benefits and War Costs
A) Distribution of traits in the landscape at iteration 1000 (Attribute=1 shown in black).
B) Distribution of War shown by black lines connecting nodes.
C) Distribution of Trade shown by green lines connecting nodes.
G) Average Number of Wars, Trade, and Gini Coefficient Across Time
D) Spatial Distribution of Wealth (Blue above 1000 and Red Below 1000 Power Unites)
F) Change in the Percentage of States Having a Traits 1, 2, 12, &13 Across Time.
Figure 17: Simultaneously Allow Rapid Learning, Increased Trade Benefits, & Increased War Costs
A) Distribution of traits in the landscape at iteration 1000 (Attribute=1 shown in black).
B) Distribution of War shown by black lines connecting nodes.
C) Distribution of Trade shown by green lines connecting nodes.
G) Average Number of Wars, Trade, and Gini Coefficient Across Time
D) Spatial Distribution of Wealth (Blue above 1000 and Red Below 1000 Power Unites)
F) Change in the Percentage of States Having a Traits 1, 2, 12, &13 Across Time.
Figure 18: Relative Gains, Rapid Learning, Increased Trade Benefits, & Increased War Costs
A) Distribution of traits in the landscape at iteration 1000 (Attribute=1 shown in black).
B) Distribution of War shown by black lines connecting nodes.
C) Distribution of Trade shown by green lines connecting nodes.
G) Average Number of Wars, Trade, and Gini Coefficient Across Time
D) Spatial Distribution of Wealth (Blue above 1000 and Red Below 1000 Power Unites)
F) Change in the Percentage of States Having a Traits 1, 2, 12, &13 Across Time.